| Literature DB >> 35043047 |
Joaquín Rodríguez-Ruiz1, Izabela Zych1, Vicente J Llorent2.
Abstract
Prevalence rates of compliance with anti-COVID measures have been widely studied, but little is known about this issue in early adolescence. Moreover, the relation between substance use and compliance with anti-COVID regulations is still unexplored. Thus, this study aimed to determine the level of compliance with anti-COVID measures by adolescents and the link between substance use and compliance with anti-COVID regulations. This was a cross-sectional study including 909 participants (M age = 12.57; SD = 0.81). The most complied measure was mask-wearing, followed by avoiding hug/kiss friends and, finally, social distancing. All substance use negatively correlated with compliance with measures. However, strong alcohol and tobacco were the only substances significantly related to less compliance of anti-COVID measures after controlling for covariates. These results provide evidence about the relation between substance use and compliance with anti-COVID measures. Strategies addressed to decrease substance use could be effective to reduce behaviours associated with coronavirus transmission.Entities:
Keywords: Adolescents; COVID-19; Compliance with measures; Illicit substance use; Licit substances use
Year: 2022 PMID: 35043047 PMCID: PMC8757626 DOI: 10.1007/s11469-021-00751-4
Source DB: PubMed Journal: Int J Ment Health Addict ISSN: 1557-1874 Impact factor: 3.836
Fig. 1Percentages of compliance with COVID-19 regulations
Relations among the compliance with COVID-19 regulations, substance use, intoxication and feeling bad about the pandemic
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
|---|---|---|---|---|---|---|---|---|---|
| 1. Compliance of COVID-19 regulations | |||||||||
| 2. Feeling bad about the pandemic | .038 | ||||||||
| 3. Beer use | − .225** | .039 | |||||||
| 4. Wine use | − .160** | .053 | .620** | ||||||
| 5. Strong alcohol use | − .303** | .021 | .544** | .410** | |||||
| 6. Tobacco use | − .226** | .016 | .422** | .346** | .527** | ||||
| 7. Cannabis use | − .115** | .061 | .223** | .231** | .291** | .359** | |||
| 8. Cocaine use | − .070* | .063 | .082 | .141** | .186** | .308** | .499** | ||
| 9. Other strong drug use | − .088* | .042 | .114** | .162** | .227** | .284** | .712** | .781** | |
| 10. Intoxication | |||||||||
| − .207** | .036 | .393** | .295** | .553** | .508** | .400** | .307** | .316** |
*p < .05, **p < .01
A regression analysis including substance use, sex, age, feeling bad about the pandemic as predictors of compliance with COVID-19 regulations
| Beta | Standard error | |||
|---|---|---|---|---|
| Sex | .086 | .055 | 2.534 | .011 |
| Age | − .129 | .036 | − 3.695 | < .001 |
| Feeling bad about the pandemic | .053 | .021 | 1.571 | .117 |
| Beer use | − .014 | .062 | − .297 | .767 |
| Wine use | − .047 | .062 | − 1.100 | .271 |
| Strong alcohol use | − .225 | .065 | − 4.323 | < .001 |
| Tobacco use | − .099 | .068 | − 2.168 | .030 |
| Cannabis use | − .032 | .186 | -.549 | .583 |
| Cocaine use | .034 | .206 | .578 | .563 |
| Other strong drug use | − .027 | .305 | − .435 | .663 |
| Intoxication | .075 | .144 | 1.532 | .126 |